Impact of rs599839 Polymorphism on Coronary Artery Disease Risk in Saudi Diabetic Patients.

Background: Coronary artery diseases may be affected by several genetic and nongenetic factors. Single-nucleotide polymorphism (SNP) rs599839 and type 2 diabetes mellitus (T2DM) can affect the occurrence and severity of coronary artery disease (CAD). Methods: Our aim was to investigate how T2DM and the rs599839 variant affected serum lipid levels and the degree of CAD patients' coronary artery stenosis. rs599839 polymorphism genotyping was done on Saudi patients with coronary angiography performed previously. Patients enrolled were divided into group A (360 DM patients), group B (225 DM patients with CAD), and group C (190 healthy volunteers as control). Results: Individuals with diabetes and CAD who possessed the GG genotype in rs599839 exhibited markedly reduced means of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and triglycerides (TG; 224.5, 116.2, and 221.4 versus 251.6, 131.3, and 261.7 mg/dl, p=0.003, 0.007, and 0.025, respectively) than AA genotype. The odds ratio and the confidence interval of 95% for G allele carriers of rs599839 were OR = 0.62, 95% CI: 0.41-0.82, and p=0.003, among diabetic patients with CAD. Conclusions: In patients with diabetic CAD, the locus 1p13.3 polymorphism rs599839 was found to be substantially correlated with serum lipid levels. Furthermore, among Saudi patients with diabetes, the G allele of rs599839 variant lowers the CAD risk.

Protective effect of quercetin against 5-fluorouracil-induced cardiac impairments through activating Nrf2 and inhibiting NF-κB and caspase-3 activities.

5-Fluorouracil (5-FU) is a chemotherapy used to treat many types of cancer. Cardiotoxicity is one of the common drawbacks of 5-FU therapy. Quercetin (Qu) is a bioflavonoid with striking biological activities. This research aimed to assess the ameliorative effect of Qu against 5-FU-mediated cardiotoxicity. Thirty-five rats were allocated into five groups: control group (normal saline), 5-FU group (30 mg/kg, intraperitoneally), Qu group (50 mg/kg, oral), 25 mg/kg Qu+5-FU group, and 50 mg/kg Qu+5-FU. The experimental animals were received the above-mentioned drugs for 21 days. Results showed that 5-FU significantly elevated creatine kinase, lactate dehydrogenase, serum cholesterol and triglyceride, and upregulated troponin and renin mRNA expression. Additionally, cardiac oxidant/antioxidant imbalance was evident in elevated oxidants (malondialdehyde and nitric oxide) and depleted antioxidants (superoxide dismutase, catalase, glutathione peroxidase, and glutathione). 5-FU also downregulated the gene expression of nuclear factor erythroid 2-related factor 2. Furthermore, 5-FU significantly increased cardiac pro-inflammatory cytokines (tumor necrosis factor-alpha and interleukin-1 beta) and upregulated gene expression of nuclear factor kappa-B. 5-FU significantly enhanced cardiac apoptosis through upregulating caspase-3 expression and downregulating B-cell lymphoma 2. Immunohistochemical and histopathological examinations verified the above-mentioned findings. However, all these changes were significantly ameliorated in Qu pre-administered rats. Conclusively, Qu counteracted 5-FU-mediated cardiotoxicity through potent antioxidant, anti-inflammatory, and anti-apoptotic effects.

In silico evaluation of the inhibitory potential of nucleocapsid inhibitors of SARS-CoV-2: a binding and energetic perspective.

The COVID-19 outbreak brought on by the SARS-CoV-2 virus continued to infect a sizable population worldwide. The SARS-CoV-2 nucleocapsid (N) protein is the most conserved RNA-binding structural protein and is a desirable target because of its involvement in viral transcription and replication. Based on this aspect, this study focused to repurpose antiviral compounds approved or in development for treating COVID-19. The inhibitors chosen are either FDA-approved or are currently being studied in clinical trials against COVID-19. Initially, they were designed to target stress granules and other RNA biology. We have utilized structure-based molecular docking and all-atom molecular dynamics (MD) simulation approach to investigate in detail the binding energy and binding modes of the different anti-N inhibitors to N protein. The result showed that five drugs including Silmitasterib, Ninetanidinb, Ternatin, Luteolin, Fedratinib, PJ34, and Zotatafin were found interacting with RNA binding sites as well as to predicted protein interface with higher binding energy. Overall, drug binding increases the stability of the complex with maximum stability found in the order, Silmitasertib > PJ34 > Zotatatafin. In addition, the frustration changes due to drug binding brings a decrease in local frustration and this decrease is mainly observed in α-helix, ß3, ß5, and ß6 strands and are important for drug binding. Our in-silico data suggest that an effective interaction occurs for some of the tested drugs and prompt their further validation to reduce the rapid outspreading of SARS-CoV-2.Communicated by Ramaswamy H. Sarma.